亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Pathogen-Specific Local Immune Fingerprints Diagnose Bacterial Infection in Peritoneal Dialysis Patients

免疫系统 免疫学 腹膜透析 腹膜炎 病菌 生物 医学 内科学
作者
Chan‐Yu Lin,Gareth Roberts,Matt Morgan,Kieron Donovan,Nicholas Topley,Matthias Eberl
出处
期刊:Journal of The American Society of Nephrology [American Society of Nephrology]
卷期号:24 (12): 2002-2009 被引量:57
标识
DOI:10.1681/asn.2013040332
摘要

Accurate and timely diagnosis of bacterial infection is crucial for effective and targeted treatment, yet routine microbiological identification is inefficient and often delayed to an extent that makes it clinically unhelpful. The immune system is capable of a rapid, sensitive and specific detection of a broad spectrum of microbes, which has been optimized over millions of years of evolution. A patient's early immune response is therefore likely to provide far better insight into the true nature and severity of microbial infections than conventional tests. To assess the diagnostic potential of pathogen-specific immune responses, we characterized the local responses of 52 adult patients during episodes of acute peritoneal dialysis (PD)–associated peritonitis by multicolor flow cytometry and multiplex ELISA, and defined the immunologic signatures in relation to standard microbiological culture results and to clinical outcomes. We provide evidence that unique local “immune fingerprints” characteristic of individual organisms are evident in PD patients on the day of presentation with acute peritonitis and discriminate between culture-negative, Gram-positive, and Gram-negative episodes of infection. Those humoral and cellular parameters with the most promise for defining disease-specific immune fingerprints include the local levels of IL-1β, IL-10, IL-22, TNF-α, and CXCL10, as well as the frequency of local γδ T cells and the relative proportion of neutrophils and monocytes/macrophages among total peritoneal cells. Our data provide proof of concept for the feasibility of using immune fingerprints to inform the design of point-of-care tests that will allow rapid and accurate infection identification and facilitate targeted antibiotic prescription and improved patient management.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
酷炫安雁完成签到,获得积分10
5秒前
6秒前
Persist发布了新的文献求助10
12秒前
yun给yun的求助进行了留言
19秒前
39秒前
超级的雨筠完成签到,获得积分10
42秒前
漂亮凌旋发布了新的文献求助10
46秒前
52秒前
SUMI完成签到,获得积分10
56秒前
追寻夜香完成签到 ,获得积分10
56秒前
yun发布了新的文献求助10
57秒前
陶醉的傲霜完成签到,获得积分10
1分钟前
1分钟前
ZHEN发布了新的文献求助10
1分钟前
李爱国的应助被ZHEN采纳,获得10
1分钟前
1分钟前
srx完成签到 ,获得积分10
1分钟前
欣喜的英姑完成签到,获得积分10
1分钟前
忧郁思远完成签到,获得积分10
1分钟前
积极凌旋的应助被科研通管家采纳,获得10
1分钟前
打打的应助被科研通管家采纳,获得30
1分钟前
科研通AI6.4的应助被科研通管家采纳,获得100
1分钟前
脑洞疼的应助被科研通管家采纳,获得10
1分钟前
GingerF的应助被科研通管家采纳,获得200
1分钟前
科研通AI6.4的应助被科研通管家采纳,获得100
1分钟前
大模型的应助被科研通管家采纳,获得10
1分钟前
所所的应助被yuhao采纳,获得10
1分钟前
专注的天菱完成签到,获得积分10
1分钟前
大模型的应助被漂亮凌旋采纳,获得10
1分钟前
1分钟前
yuhao发布了新的文献求助10
1分钟前
英俊的谷蓝完成签到,获得积分10
1分钟前
1分钟前
粗心的丹萱完成签到,获得积分10
2分钟前
shaylee完成签到 ,获得积分10
2分钟前
Voiceless完成签到,获得积分10
2分钟前
洁净沛蓝完成签到,获得积分10
2分钟前
充电宝的应助被wcwpl采纳,获得10
2分钟前
怕黑的不愁完成签到,获得积分10
2分钟前
无花果的应助被怕黑的不愁采纳,获得10
2分钟前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Production Logging: Theoretical and Interpretive Elements 400
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7816787
求助须知:如何正确求助?哪些是违规求助? 9345722
关于积分的说明 20530869
捐赠科研通 7409310
什么是DOI,文献DOI怎么找? 3331556
关于科研通互助平台的介绍 2477743
邀请新用户注册赠送积分活动 2351114